Janick Edinger's research while affiliated with University of Hamburg and other places

... The studies focusing on simulations, performance analysis, and the more technical side of the field are not free from typical problems either. These topics were also covered during the PerFail workshop [13], [14], [15], [16]. Some lessons learned discussed in the workshop include: ...

... In edge computing, workload management must, however, deal with user mobility and higher variance in server and network topologies and capacities, thus making it a distinct research topic. Workload management on the edge can be handled with different strategies, such as the physical placement of edge servers [5,12,36] or reallocating services on the softwareside with different optimization algorithms [18,37,38]. Reallocation can rely on known edge server features, such as capacity, or their current state, such as load or even price [39]. ...

... Other than developing the application which provides such functionality by implementing the developer's mechanism and algorithm, incorporating a reliable API is also an option. API has the benefit of providing automation making completion of the task faster with less human effort, allowing customization and personalization service for the end users, great integration with users' system and equality in data update when new data update is available (Bauer et al. 2019). Navigation API is a specific type of API providing a suite of geolocation API and mapping building blocks that enables software developers to retrieve the data they need to create a routing or navigation related application, from identifying locations and displaying maps, to providing directions and customizing journeys. ...

... A wealth of research has been conducted, along the last decade, to study and design software and devices devoted to improve the quality of life of users with disability while moving across the urban environment, with the aim of shifting the smart mobility paradigm into a smart and accessible mobility [5,118]. Scholars provided variegate approaches to accessible wayfinding and navigation, focused on different aspects, ranging from specific citizens' needs (i.e., blind users, wheelchair users [3,16]), to different contexts of use (i.e., indoor or outdoor [20,27]), to specific technologies (for instance to identify user's position [28]), to different data sources exploited (such as open data provided by municipalities or crowdsourced and crowdsensed data [31,48]). In spite of that, the presented approaches do not seem mature enough to be deployed in large-scale scenarios and in a pervasive fashion. ...

... Smooth pursuit onset was detected in each trial by fitting a piecewise linear function with two segments and a break point (as previously reported in [33]) to the filtered and saccadeinterpolated velocity traces (eye positions were linearly interpolated between saccade onsets and offsets). The fitting window to detect pursuit onset started at RDK onset, and the end of the window was 150 ms after the point at which eye velocity consistently exceeded four times the standard deviation of the fixation noise [34]. ...

... (Aberer et al. 2006;Aygalinc et al. 2016;Becker et al. 2019;Caporuscio et al. 2010;Escoffier et al. 2014;Handte et al. 2012). Most of these approaches concentrate on either networked embedded devices (Becker et al. 2004(Becker et al. , 2003Eisenhauer et al. 2010;Kostelník et al. 2011) or the Cloud (Brinkschulte et al. 2019, Guinard et al. 2010, Mahn et al. 2018, Naber et al. 2019, thus not fulfilling our first requirement, to provide a runtime environment for all device classes. ...

... Similarly, Mishra et al. (2021) proposed a safe route design technique in light of the recent Covid-19 pandemic that enables pedestrians to bypass areas that would make them vulnerable to infection. Gani et al. (2019) proposed a system that suggests the optimal route by considering the presence of crosswalks or curbs, which are barriers to walking. ...

... As end-devices usually present highly restricted computation power, task offloading has been extensively studied as it can notably enrich the capabilities of constrained IoT units , even considering Quality of Service (QoS) aspects (Song et al., 2017). Given the proximity of computation and storage resources to enddevices, many user-centric or contextual services have been developed (Breitbach et al., 2019). For example, quick indoor positioning (Santa et al., 2018), data caching, or digital twins are widely-extended applications enabled by edge computing together with network virtualization techniques such as Software Defined Networking (SDN) and Network Function Virtualization (NFV) . ...

... We are working on solutions that automate the construction of digital twins as well as the analysis of the modeled food similar to solutions from the area of machine learning, e.g., AutoML [44] or based on our previous works [8,9]. Additionally, we already have several previous works for systems that can adapt the process and support adaptability [3,8,9,47]. We are currently working on integrating and adjusting them for food processing. ...

... Specifically, if indeed both purpose and ESB are ethical constructs and their link is an ethics-based one, then the extent to which purpose and SO produce ESB should depend on the importance to employees of belonging to an ethical organization, in part by engaging in ethical actions for it (Flannery & May, 2000). Some pertinent research (Moore et al., 2019) suggests that employees are likely to vary in the extent to which being a moral person (e.g., caring, compassionate, fair, generous) is central to their overall sense of self or identity (Aquino & Reed, 2002;Edinger et al., 2019). Moreover, the more central being a moral person is to an employee's identity (i.e., high moral identity centrality or MIC), the more likely it is that this aspect of their identity will be salient at work and, thus, interact with the contextual influences in the workplace to affect their ethical behaviors. ...